Covariate

Estimate

S.E.

Pvalue


Intercept

0.9893

2.7552

0.7205

Age

0.0140

0.0425

0.7430

τ

4.7362

3.6190
 
ρ

1.9093

0.6603
 
Score test for the genetic pathway effect H_{0}: h(z) = 0:

Test

Pvalue

KM

< 0.0001

GT

0.0661

 Parameter estimates and score test of the logistic kernel machine regression model for the genetic pathway effect applied to the prostate cancer data. In the table, KM stands for Kernel machine method using the Gaussian kernel, and GT for global test of Geoman et al. [13] assuming linearity.